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Exact(6)
We model the signals as FRI signals and then sample them at their rate of innovation.
The PDF that produces the maximum cumulative entropy is selected to model the signals.
Before presenting the proposed relaying schemes, we first model the signals at the first phase as follows.
The empirical KL divergence was derived here for GMMs, but in (19) and (20) we can also use HMMs to model the signals.
For simplicity, we model the signals with the following Bernoulli distribution: Ρr s i | w = p, if s i = w 1 − p, o. w., (1).
Most often, a small number of ECDs were used to model the signals.
Similar(54)
However, in the SLIP model, the signal is defined in (−1,1) while in the LIP model, the signal is defined in ((-infty,1)).
Using the SLIP model, the signal set is defined as S={x|x∈(−1,1)}.
Using this model, the signal detection process becomes a test for presence of cyclostationary characteristics of the tested signal [6 8].
In that model, the signal to noise and reverberation ratio (SNRR) and signal frequency band affect the achievable minimum variance.
This tree model is further used in Section 4.2 to model the signal fading due to swaying vegetation.
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